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We are the System Intelligent and Machine Learning (SIML) group that provides foundational computer vision and machine learning technologies to Apple’s ecosystem. The technology you build will play a major role in defining important datasets, ingestion of annotated/inferred data into our systems,

Distinguished Architect, Artificial Intelligence (AI) and Machine Learning (ML). An advanced degree (MS or PhD) in Artificial Intelligence, Machine Learning, or related field is highly preferred.

The Search Information Intelligence organization is at the forefront of innovation in algorithmic search, machine learning, natural language processing, and artificial intelligence—transforming how hundreds of millions of users discover and interact with information.

Experience building systems based on machine learning and/or deep learning methods. Research Intern, AI Systems and Machine Learning (PhD) Responsibilities:. Conduct state-of-the-art research to advance the science and technology of Machine Learning Systems and Infrastructures in various technology

Senior Technical Program Manager, Machine Learning Deployment Acceleration.

We're forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. Foster a culture of innovation, collaboration and continuous improvement and learning.

In this role, you will help build a robust, scalable platform that enables the training, deployment, and observability of machine learning models for video understanding and classifications. Design and lead the development of core components of the machine learning platform with a focus on scalabili

Machine Learning Data Platform Engineer. Join us in building the machine learning platform that enables teams at Apple to build Apple Intelligence and many other intelligent experiences across hardware, software, and service products. As a Machine Learning Data Platform Engineer, you'll design and b

BS in Computer Science, Machine Learning, Electrical Engineering, or related field. Experience deploying deep-learning based models to edge devices or air gapped environments.

AIML - Machine Learning Manager, Maps Search. Strong foundational understanding of mathematics behind modern machine learning, including linear algebra and statistics. PhD degree in AI, Machine Learning, Computer Science, Mathematics.

In order to execute our vision, we're constantly growing our machine learning team. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies to the team, and

We are looking for extremely entrepreneurial Product Managers with Machine Learning expertise who value moving quickly, and can help innovate and coherently drive product initiatives across the company. Product Manager, Machine Learning.

The team is responsible for enabling PitchBook's Machine Learning teams and practitioners by providing tools and golden paths that optimize all aspects of the Machine Learning Development Life Cycle (MLDLC). Engineering Manager, Machine Learning Operations. As an Engineering Manager, Machine Learnin

AWS or GCP) and developing machine learning models in a cloud environment. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

Changing the world through digital experiences is what Adobe’s all about.We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, video

Stay up‑to‑date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects. PhD and with +8 year experience in Computer Science or a related field with a focus on MLLMs, computer vision,

Machine Learning Systems Engineer, Research Tools. We are seeking an experienced Machine Learning Systems Engineer to join our Encodings and Tokenization team at Anthropic. Have significant software engineering experience with demonstrated machine learning expertise.

Professional expertise in Machine Learning, Engineering, or a technical discipline.

Experience designing, developing, optimizing, and maintaining machine learning systems at scale.

We expect you to have strong, efficient ML model development experiences and a passion for shipping machine learning models on device. Experience in developing large computer vision and machine learning models, particularly on the hardware-aware model optimizations. Large Machine Learning Model Opti

MS or PhD degree in Computer Science, Machine Learning, Statistics or related field. Strong software engineering and mathematical skills with knowledge of machine learning.

Principal Machine Learning Engineer (P60). We’re seeking a new Principal Machine Learning Engineer (P60) to join our new. Master’s or PhD in Computer Science, Machine Learning, or related field preferred—or equivalent industry experience.

AWS or GCP) and developing machine learning models in a cloud environment. Software Engineer, Machine Learning (Multiple Levels) - Slack. Software Engineer, Machine Learning (Multiple Levels) - Slack.

AWS or GCP) and developing machine learning models in a cloud environment. You'll also receive benefits including, but not limited to : Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI‑powered features that extract meaningful insights from PitchBook's wealth of structured and unstructured data including reports, news, and other textual content. This role req

Minimum Qualifications* 9+ years of post-Bachelor’s machine learning experience; or a Master’s degree in a technical field + 8+ year of post-grad ML experience; or a PhD in a related technical field + 5+ years of post-grad ML experience* 2+ years of experience with technical leadership or acting

About the Staff Software Engineer, Machine Learning at Headspace: Machine Learning at Headspace is a dynamic and innovative group whose mission is to improve the experiences of our members and clinicians through the mindful application of Machine Learning. Professional experience with clinical and/o

Seattle, Washington, United States Machine Learning and AI. Do you want to make Siri and Apple products smarter for our users? The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence.

PitchBook's Associate Machine Learning Engineer is responsible for using machine learning, statistical modeling, and Natural Language Processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. Use natural language processing (NLP) and m

As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. With more than 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners cre

PhD in Computer Science, Machine Learning, or a related technical field. Track record of publications, patents, or open‑source contributions in relevant areas of machine learning or multimodal modeling. The Applied Machine Learning team builds production multimodal systems that understand and tran

Machine Learning Engineer - Personalization at Prime Video & Amazon MGM Studios. Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods.

Machine Learning Compiler Engineer, AWS Neuron, Annapurna Labs. The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and are used for building Generative AI on AWS. Machine Learning Compiler Engineer III, you will lead the development and scaling of a compiler for la

Bachelor’s), 5+ years (with a Master’s), or 4+ years (with a PhD) of professional experience in data science or machine learning roles. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and travele

We are looking for a Machine Learning Engineer with a deep background in generative AI, large language models (LLMs), and reinforcement learning techniques to build the next generation of AI systems for trustworthy healthcare. PhD or equivalent experience in Machine Learning, NLP, AI, or a related f

As a Machine Learning Intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems. U

Staff Machine Learning Research Scientist, LLM Evals. As a Staff Machine Learning Research Scientist on the LLM Evals team, you will lead the development of novel evaluation methodologies, metrics, and benchmarks to measure the capabilities and limitations of frontier LLMs. Published research in are

Collaborate with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models. Develop and maintain platforms for developing, evaluating, and deploying machine learning models for real-world applications. Our team is responsible for tailoring the

With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Responsible for the design and development of the architecture of large-scale machine learning systems, solving technical difficulties such as high concurre

Experience: 0–2 years as a Machine Learning Engineer or a PhD in Computer Science (Machine Learning coursework required). Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments. Mercor - Machine Learning Engineer, application via RippleMatch.

Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.

Staff Applied AI and Machine Learning Engineer, Payments & Risk. For this role, we are looking for a technical leader (an individual contributor) to drive machine learning and AI in the payment and risk domains. Build and deploy machine learning models to identify, assess and mitigate risks.

Senior Machine Learning Scientist – Applied Payments. Join Expedia Group as a Senior Machine Learning Scientist focused on Payments. In this role, you will transform complex, high‑volume payment challenges into scalable, production‑ready machine learning solutions that power millions of secure

BS in Computer Science, Machine Learning, Electrical Engineering, or related field. Experience fine-tuning transformer-based modelExperience deploying deep-learning based models to edge devices or air gapped environments.

As a Machine Learning Engineer at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. Contribute to cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems. Use machine learning, natural language p

Familiar with one or more of the following areas: recommendation systems, machine learning, deep learning, data mining, computer vision, NLP, or multimodal machine learning. Machine Learning Engineer Intern (E-commerce-Recommendation) - 2025 Summer/Fall (BS/MS). Strong proficiency in Python and/or C

Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. Machine Learning Engineer, Monetization Engineering. Machine Learning Engineer Graduate (Search E-Commerce - Seattle) - 2025 Start (BS/MS).

Senior Machine Learning Scientist – Applied Payments (Seattle HQ). A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. As our Senior Machine Learning Scientist for Payments,